High-temperature ultrasonic thickness monitoring for pipe thinning in a flow-accelerated corrosion proof test facility

Cheong, Yong Moo; Kim, Kyung-Mo; Kim, Dong-Jin

doi:10.1016/j.net.2017.05.002

Cited by 48 publications

(34 citation statements)

References 13 publications

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“…This work utilised a single US transducer used for both transmitting and receiving the US signal. This type of system is called a reflection mode system and have been used for a variety of industrial applications including corrosion monitoring (Cheong, Kim, & Kim, 2017) and flow monitoring (Al-Aufi et al, 2019).…”

Section: Materials and Methods: 21 Ultrasonic Methodsmentioning

confidence: 99%

Clean-in-place monitoring of different food fouling materials using ultrasonic measurements

et al. 2019

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Clean-in-Place is an autonomous technique used to clean the internal surfaces of processing equipment in the food and drink sector. However, these systems clean for a longer time than required with negative economic and environmental impacts. In this work, an ultrasonic sensor system was developed to monitor the cleaning of different food fouling materials at laboratory scale. The fouling removal of three different food materials was also studied at different cleaning fluid temperatures. The three food materials had different cleaning mechanisms, which could be monitored successfully with the ultrasonic system. Tomato paste and gravy appeared to be cleaned by mechanical forces whereas malt extract dissolved into the cleaning water. The results yielded from the cleaning of the malt was found to be repeatable whereas the tomato and gravy were more variable between repeat experiments. It was found that changes in recorded ultrasonic signals were mainly affected by the area of fouling that covered the transducer's active element.

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Section: Materials and Methods: 21 Ultrasonic Methodsmentioning

confidence: 99%

Clean-in-place monitoring of different food fouling materials using ultrasonic measurements

et al. 2019

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“…The variation of ultrasonic velocity arises from the temperature dependence of the density and elastic properties of the medium. 11 Although the exact underlying mechanisms are complicated, a linear relationship is also often used to describe the temperature dependence of ultrasonic wave velocity [12][13][14]…”

Section: Measurement Principlementioning

confidence: 99%

Ultrasonic monitoring of pipe wall interior surface temperature

Zhang

Cegla

Corcoran

2020

Structural Health Monitoring

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Accurate temperature measurement is a crucial aspect of structural health monitoring and prognosis. Conventional temperature measurement devices are either incapable of measuring subsurface temperatures in solids or need to be invasively installed. This study investigates the use of an ultrasonic technique for non-invasive measurement of subsurface temperatures in steel components; the temperature of a point on an inaccessible surface is inferred using a time-of-flight measurement from a transducer placed on an opposing accessible surface. Two different inversion approaches are presented, one named the assumed distribution method and the other named the inverse thermal modelling method. The robustness and accuracy of the two ultrasonic temperature inversion methods are quantitatively assessed via simulations and controlled experiments. It was found that both the assumed distribution and inverse thermal modelling methods demonstrate short thermal response times and are able to track the temperature evolution of inaccessible surfaces. A series of experimental studies show that in the presence of a 15°C difference between the accessible and inaccessible surfaces, the inaccessible surface temperature is typically measured to within better than 2°C with respect to a resistance temperature detector reference measurement. Additionally, the article compares the measurement performance achieved using a deployable electromagnetic acoustic transducer and a permanently installed piezo-electric PZT transducer. The time-of-flight measurements taken using the electromagnetic acoustic transducer system had higher random noise than the PZT system (standard deviations of 0.42 and 0.016 ns, respectively), subsequently leading to higher random noise in the temperature estimates.

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“…This calls for a reliable testing and evaluation method to ensure that the functionality of the system is not compromised due to thickness reduction. Recently, numerous nondestructive testing (NDT) techniques, such as x-ray [ 7 , 8 , 9 ], microwave [ 10 , 11 , 12 ], ultrasonic [ 13 , 14 , 15 , 16 ], magnetic flux leakage [ 17 , 18 , 19 ], acoustic emission [ 20 , 21 , 22 ], and eddy current [ 23 , 24 , 25 ], have been used for the measurement of pipe wall thinning. Each of these techniques have their own advantages and limitations.…”

Section: Introductionmentioning

confidence: 99%

Thermographic Inspection of Internal Defects in Steel Structures: Analysis of Signal Processing Techniques in Pulsed Thermography

Chung

Shrestha

Lee

et al. 2020

Sensors

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This study performed an experimental investigation on pulsed thermography to detect internal defects, the major degradation phenomena in several structures of the secondary systems in nuclear power plants as well as industrial pipelines. The material losses due to wall thinning were simulated by drilling flat-bottomed holes (FBH) on the steel plate. FBH of different sizes in varying depths were considered to evaluate the detection capability of the proposed technique. A short and high energy light pulse was deposited on a sample surface, and an infrared camera was used to analyze the effect of the applied heat flux. The three most established signal processing techniques of thermography, namely thermal signal reconstruction (TSR), pulsed phase thermography (PPT), and principal component thermography (PCT), have been applied to raw thermal images. Then, the performance of each technique was evaluated concerning enhanced defect detectability and signal to noise ratio (SNR). The results revealed that TSR enhanced the defect detectability, detecting the maximum number of defects, PPT provided the highest SNR, especially for the deeper defects, and PCT provided the highest SNR for the shallower defects.

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High-temperature ultrasonic thickness monitoring for pipe thinning in a flow-accelerated corrosion proof test facility

Cited by 48 publications

References 13 publications

Clean-in-place monitoring of different food fouling materials using ultrasonic measurements

Clean-in-place monitoring of different food fouling materials using ultrasonic measurements

Ultrasonic monitoring of pipe wall interior surface temperature

Thermographic Inspection of Internal Defects in Steel Structures: Analysis of Signal Processing Techniques in Pulsed Thermography

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